MacBook Air (Late 2020)
Geekbench AI Score
3193
Single Precision Score
5381
Half Precision Score
4422
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | kshaikh |
| Upload Date | July 23 2025 02:35 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Air (Late 2020) |
| Model ID | MacBookAir10,1 |
| Motherboard | MacBookAir10,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1403
260.9 IPS |
|
|
Image Classification (HP)
|
100% |
2204
409.9 IPS |
|
|
Image Classification (Q)
|
96% |
1569
293.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1342
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2516
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6448
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
14187
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12194
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1494
118.5 IPS |
|
|
Object Detection (HP)
|
97% |
2379
189.4 IPS |
|
|
Object Detection (Q)
|
94% |
1764
140.6 IPS |
|
|
Face Detection (SP)
|
100% |
2927
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
5264
62.5 IPS |
|
|
Face Detection (Q)
|
100% |
3123
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5676
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10431
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7366
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16861
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26869
34.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22277
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3680
135.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4663
172.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3501
129.3 IPS |
|
|
Text Classification (SP)
|
100% |
2363
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4172
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4112
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2497
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4531
78.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4567
78.9 IPS |
